[1]
|
Calculating the Moore–Penrose Generalized Inverse on Massively Parallel Systems
Algorithms,
2022
DOI:10.3390/a15100348
|
|
|
[2]
|
A divide-and-conquer approach for the computation of the Moore-Penrose inverses
Applied Mathematics and Computation,
2020
DOI:10.1016/j.amc.2020.125265
|
|
|
[3]
|
Scale-invariant unconstrained online learning
Theoretical Computer Science,
2019
DOI:10.1016/j.tcs.2019.11.016
|
|
|
[4]
|
Computation of {2,4} and {2,3}-inverses based on rank-one updates
Linear and Multilinear Algebra,
2017
DOI:10.1080/03081087.2017.1290042
|
|
|
[5]
|
Computing the Pseudoinverse of Specific Toeplitz Matrices Using Rank-One Updates
Mathematical Problems in Engineering,
2016
DOI:10.1155/2016/9065438
|
|
|
[6]
|
Computing {2,4} and {2,3}-inverses by using the Sherman–Morrison formula
Applied Mathematics and Computation,
2016
DOI:10.1016/j.amc.2015.10.023
|
|
|
[7]
|
Efficient Window-Based Channel Estimation for OFDM System in Multi-Path Fast Time-Varying Channels
IEICE Transactions on Communications,
2015
DOI:10.1587/transcom.E98.B.2330
|
|
|
[8]
|
A PCA based optimization approach for IP traffic matrix estimation
Journal of Network and Computer Applications,
2015
DOI:10.1016/j.jnca.2015.07.006
|
|
|
[9]
|
Execute Elementary Row and Column Operations on the Partitioned Matrix to Compute M-P InverseA†
Abstract and Applied Analysis,
2014
DOI:10.1155/2014/596049
|
|
|
[10]
|
Gauss–Jordan elimination methods for the Moore–Penrose inverse of a matrix
Linear Algebra and its Applications,
2012
DOI:10.1016/j.laa.2012.05.017
|
|
|